Artificial Intelligence Jobs

Wayve · London

Owns shared onboard runtime foundations for autonomous vehicles: application frameworks, communication middleware, lifecycle management, health monitoring and observability. Day to day involves C++ development, end-to-end latency and performance profiling across OS scheduling, memory hierarchy and thread synchronisation, plus porting the stack to new operating systems and compute platforms.

Wayve · London

Post-train, distill and evaluate GAIA-family large video diffusion world models for synthetic driving data, covering embodiment and pose transfer. Own large-scale GPU generation pipelines and land synthetic data into the driving-model training stack, working between ML research and platform engineering.

DCV Technologies · Windsor · £550 – £600 pd

Hands-on contract role designing, testing and optimising production-grade LLM prompts for chatbots, voice bots, IVR and messaging channels. Involves building agentic AI workflows with tool calling and multi-step reasoning, implementing RAG and evaluation frameworks, and adding guardrails for privacy, PII and hallucination reduction. Works with engineering, product and CX teams on a major digital transformation programme.

VIQU IT · Cornhill, Greater London · £90,000 – £95,000 pa

Owns the end-to-end architecture of an enterprise AI platform spanning Azure and AWS, covering ML training, model hosting, MLOps and Generative AI. Defines patterns for LLMs, RAG, vector search and agent frameworks, evaluates tooling, and provides technical direction to ML and platform engineers while embedding security, governance and regulatory requirements.

Circle Recruitment · Cardiff · £45,000 – £53,000 pa

Lead the design, development and deployment of AI-powered tools, including automation, RAG and LLM-based workflows, while guiding technical direction and mentoring a small team of engineers. Work with senior stakeholders on secure, scalable, governance-compliant AI systems, using Python, Java or JavaScript/TypeScript with frameworks such as PyTorch and TensorFlow.

Key Recruitment · Southampton · £70,000 – £92,258 pa

Lead the creation of an enterprise-wide AI Accelerator programme, combining technical leadership with programme-level influence. You will prototype with geo foundation models, agentic systems and LLM orchestration, write production-grade code, mentor participants and engage senior stakeholders to embed responsible AI across a geospatial data business.

EMBS Engineering · London · £75,000 – £85,000 pa

Lead a team of AI developers while remaining hands-on, building enterprise-grade Generative and Agentic AI applications for a financial services client. Work spans Python and Java services, FastAPI APIs, LLM integrations, RAG architectures and agent-based workflows on AWS Bedrock, AgentCore and EKS, plus CI/CD and DevOps. Also involves setting engineering standards and mentoring within a consultancy team.

Luminance · Cambridge

An 8-week internship embedded in a software engineering team, working alongside and mentored by an engineer from day one. Interns contribute to real engineering work at a fast-paced AI company, with a MacBook Pro and extra computing resources provided. Requires at least three days a week on-site in Cambridge, with up to two days remote.

Carrington Recruitment Solutions · London · £95,000 – £105,000 pa

Hands-on AI solutions engineering role at a City of London professional services firm, designing, building, deploying and supporting practical AI solutions and turning proofs of concept into production. Combines AI platform work (Co-Pilot Studio, Azure AI Foundry, agentic AI, LLMs, NLP) with strong software development in C#/.NET, Python and JavaScript, working directly with senior business stakeholders in a heavily regulated environment.

Helsing · Barcelona, Spain

PhD research internship tackling open problems in spatial perception and localisation within the Spatial Intelligence Team. You survey and prototype state-of-the-art methods for scene matching, SLAM/VIO and 3D reconstruction, benchmarking ideas against real-world data and compute constraints, and report findings to a Europe-distributed team.

eFinancialCareers · London · £110,000 – £140,000 pa

You will join a small AI labs team as one of two senior engineers, building Agentic AI solutions for internal investment, sales and marketing departments, taking projects from inception to production in roughly three-month cycles. Work centres on Python, AWS, LangChain and LangGraph, with client demos and potential partnerships, before handing solutions to departmental tech teams.

Anthropic · London · £225,000 – £255,000 pa

Join the Beneficial Deployments Life Sciences team to help labs automate experiments end-to-end with Claude, from advising and prototyping to writing production code. You'll deploy the Model Hardware Standard, build reusable cookbooks and evals, and shape internal product and research direction, with significant travel as an EMEA ambassador.

Anthropic · London · £165,000 – £190,000 pa

Partner with founders and engineers to architect LLM solutions on the Claude Developer Platform, guiding startups from technical discovery through deployment. Win technical evaluations, build evaluation frameworks, and feed emerging use cases back to Product and Engineering. Requires travel to customer sites and startup events.

OpenAI · London

Senior technical owner for a portfolio of public sector customers, shaping AI strategy from pre-sales discovery through production adoption. Owns the technical account plan across ChatGPT Enterprise, the OpenAI API, Codex and agentic solutions, designing architectures spanning models, data, integration, identity, security and governance while coordinating deployment, enablement and partner specialists.

Scale AI · London

Sets standards for responsible AI, model governance and production MLOps across a public sector team, and builds or validates the highest-risk parts of strategic AI systems. Acts as senior technical partner to client leadership, leads severe incident resolution, and coaches other applied AI engineers. Requires deep production AI/ML ownership and experience with regulated, sovereign or on-premise deployments.